Using AI for Abnormal Behavior Detection

November 14, 2019

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Using AI for Abnormal Behavior Detection

This is a presentation I used during my talk at the IT Summit Turkey 2019.

Daron Yondem

November 14, 2019

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Transcript

Daron Yöndem http://daron.me @daronyondem
• Out of the Box Anomaly Detection for Cloud Apps
• Anomaly Detection in the world of IoT • Anomaly Detector for Everyone
• Risky IP address • Login failures • Admin activity
• Inactive accounts • Location • Impossible travel • Device and user agent • Activity rate
• Entity behavioral analytics (UEBA) • Machine learning (ML)
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• Azure IoT Edge, Azure Stream Analytics offers built-in machine
learning based anomaly detection • AnomalyDetection_SpikeAndDip and AnomalyDetection_ChangePoint
An AI service that helps you foresee problems before they
occur
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Microsoft Cloud App Security Product Page https://drn.fyi/375O6ML Anomaly Detection with
Azure Stream Analytics and ML https://drn.fyi/33ZlpPu Online Playground for Anomaly Detector https://drn.fyi/2Qhqz5C Azure Anomaly Detector Video https://drn.fyi/2CHyl0z
http://daron.me | @daronyondem Download slides here; http://decks.daron.me